Asynchronous Signal Passing for Tile Self-Assembly: Fuel Efficient Computation and Efficient Assembly of Shapes
Jennifer E. Padilla, Matthew J. Patitz, Raul Pena, Robert T., Schweller, Nadrian C. Seeman, Robert Sheline, Scott M. Summers and, Xingsi Zhong

TL;DR
This paper introduces an asynchronous signal-passing tile self-assembly model (STAM) that enables more efficient and powerful assembly processes, including shape construction, Turing machine simulation, and linear structure assembly, surpassing limitations of previous models.
Contribution
The paper presents the STAM, a novel asynchronous model allowing dynamic glue state changes, enabling efficient shape assembly, Turing machine simulation, and complex pattern self-assembly at temperature 1.
Findings
Fewer tile types needed for linear structure assembly.
High fuel efficiency in Turing machine simulation.
Successful strict self-assembly of the Sierpinski triangle.
Abstract
In this paper we demonstrate the power of a model of tile self-assembly based on active glues which can dynamically change state. We formulate the Signal-passing Tile Assembly Model (STAM), based on the model of Padilla, Liu, and Seeman to be asynchronous, allowing any action of turning a glue on or off, attaching a new tile, or breaking apart an assembly to happen in any order. Within this highly generalized model we provide three new solutions to tile self-assembly problems that have been addressed within the abstract Tile Assembly Model and its variants, showing that signal passing tiles allow for substantial improvement across multiple complexity metrics. Our first result utilizes a recursive assembly process to achieve tile-type efficient assembly of linear structures, using provably fewer tile types than what is possible in standard tile assembly models. Our second system of…
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Taxonomy
TopicsAdvanced biosensing and bioanalysis techniques · DNA and Biological Computing · Modular Robots and Swarm Intelligence
